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Volumn 3614, Issue PART II, 2005, Pages 73-80

An effective feature selection scheme via genetic algorithm using mutual information

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; PERSONNEL TRAINING; SPEED; STATISTICAL METHODS;

EID: 26944463069     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
  • 1
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    • Feature selection for classification
    • Dash, M., Liu, H.: Feature selection for classification. Intelligent Data Analysis, vol. 1 (1997). 131-156.
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Liu, H.2
  • 4
    • 84947798316 scopus 로고
    • Relative feature importance: A classifier-independent approach to feature selection
    • Gelsema, E. S. and Kanal, L. N. (eds.), Amsterdam: Elsevier
    • Holz, H. J. and Loew, M. H.: Relative feature importance: A classifier-independent approach to feature selection. In: Gelsema, E. S. and Kanal, L. N. (eds.), Pattern Recognition in Practice IV. Amsterdam: Elsevier (1994) 473-487.
    • (1994) Pattern Recognition in Practice IV , pp. 473-487
    • Holz, H.J.1    Loew, M.H.2
  • 5
    • 0033097744 scopus 로고    scopus 로고
    • Automatic approach to feature subset selection based on relevance
    • H. Wang, D. Bell, F. Murtagh: Automatic approach to feature subset selection based on relevance. IEEE Trans. PAMI 21 (3). (1999) 271-277.
    • (1999) IEEE Trans. PAMI , vol.21 , Issue.3 , pp. 271-277
    • Wang, H.1    Bell, D.2    Murtagh, F.3
  • 6
    • 9444219703 scopus 로고    scopus 로고
    • A comparison of neural network input vector selection techniques
    • Springer-Verlag Berlin Heidelberg
    • Belinda Choi, Tim Hendtlass, and Kevin Bluff: A Comparison of Neural Network Input Vector Selection Techniques. LNAI 3029. Springer-Verlag Berlin Heidelberg (2004) 1-10.
    • (2004) LNAI , vol.3029 , pp. 1-10
    • Choi, B.1    Hendtlass, T.2    Bluff, K.3
  • 7
    • 0036933407 scopus 로고    scopus 로고
    • Input feature selection by mutual information based on parzen window
    • N. Kwak, C-H. Choi: Input feature selection by mutual information based on parzen window. IEEE Trans. PAMI 24 (12). (2002) 1667-1671.
    • (2002) IEEE Trans. PAMI , vol.24 , Issue.12 , pp. 1667-1671
    • Kwak, N.1    Choi, C.-H.2
  • 8
    • 12144251725 scopus 로고    scopus 로고
    • Effective feature selection scheme using mutual information
    • D. Huang,Tommy W.S. Chow: Effective feature selection scheme using mutual information. Neurocomputing vol. 63. (2005) 325-343.
    • (2005) Neurocomputing , vol.63 , pp. 325-343
    • Huang, D.1    Chow, T.W.S.2
  • 9
    • 34548696055 scopus 로고
    • Independent coordinates for strange attractors from mutual information
    • A.M. Fraser & H.L. Swinney: Independent Coordinates for Strange Attractors from Mutual Information. Physical Review A, Vol. 33/2. (1986) 1134-1140.
    • (1986) Physical Review A , vol.33 , Issue.2 , pp. 1134-1140
    • Fraser, A.M.1    Swinney, H.L.2
  • 11
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature selection
    • W. Siedlechi and J. Sklansky: A note on genetic algorithms for large-scale feature selection. Pattern Recognition Letters, 10. (1989) 335-347.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 335-347
    • Siedlechi, W.1    Sklansky, J.2
  • 12
  • 13
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • J.H. Yang and V. Honavar: Feature Subset Selection Using a Genetic Algorithm. IEEE Intelligent Systems, vol. 13, no. 2. (1998) 44-49.
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.2 , pp. 44-49
    • Yang, J.H.1    Honavar, V.2
  • 15
    • 5244334659 scopus 로고
    • An intercomparison of temperature and moisture fields derived from TIROS operational vertical sounder data by different retrieval techniques. part I: Basic statistics
    • J. LeMarshall: An Intercomparison of Temperature and Moisture Fields Derived from TIROS Operational Vertical Sounder Data by Different Retrieval Techniques. Part I: Basic Statistics. Journal of Applied Meteorology, Vol 27. (1988) 1282-1293.
    • (1988) Journal of Applied Meteorology , vol.27 , pp. 1282-1293
    • LeMarshall, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.